Constrained CTC Decoding for Efficient Diacritic Restoration
Merged summary
TL;DR - A constrained CTC method restores Arabic diacritics from speech and undiacritized transcripts more efficiently than a multimodal baseline. It significantly reduces diacritic error rates on both Classical and Modern Standard Arabic benchmarks.
- Uses non-autoregressive CTC for speech-to-text diacritization.
- Builds a character-level lattice from the transcript to restrict decoding to valid diacritized forms.
- Evaluated on the ArVoice and ClArTTS test sets.
- Delivers both accuracy and computational-efficiency gains over a more complex multimodal approach.
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Constrained CTC Decoding for Efficient Diacritic Restoration
TL;DR - A constrained CTC method restores Arabic diacritics from speech and undiacritized transcripts more efficiently than a multimodal baseline. It significantly reduces diacritic error rates on both Classical and Modern Standard Arabic benchmarks.
- Uses non-autoregressive CTC for speech-to-text diacritization.
- Builds a character-level lattice from the transcript to restrict decoding to valid diacritized forms.
- Evaluated on the ArVoice and ClArTTS test sets.
- Delivers both accuracy and computational-efficiency gains over a more complex multimodal approach.